• DocumentCode
    2290135
  • Title

    Blind Signal Separation Based on Feed-forward and Feedback Neural Network

  • Author

    Bo, Xiong ; Guo-lin, Li ; Jing-jing, Xu ; Yu Jing

  • Author_Institution
    Graduate Students´´ Brigade, Naval Aeronaut. Eng. Inst., Yantai
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The algorithm based on feed-forward and feed-back NN combines both the algorithm based on feed-forward NN and the algorithm based on feed-back NN. It separates the signal blindly by modifying the feed-forward separating matrix and the feed-back separating matrix at the same time. It has both strong adaptability and fast convergence ratio. Finally, the algorithm was used to separate several typical radio fuse signal blindly, and the computer simulation was made. The simulation result was ideal, indicates the algorithm to be effective
  • Keywords
    blind source separation; feedforward neural nets; recurrent neural nets; blind signal separation; feed-forward-feedback neural network; separating matrix; Aerospace engineering; Blind source separation; Equations; Feedforward neural networks; Feedforward systems; Fuses; Gaussian processes; Neural networks; Neurofeedback; Uncertainty; blind signal separation; neuron network; radio fuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343118
  • Filename
    4148243